Channel equalization using neural networks: A review
K Burse, RN Yadav… - IEEE transactions on …, 2010 - ieeexplore.ieee.org
Equalization refers to any signal processing technique used at the receiver to combat
intersymbol interference in dispersive channels. This paper reviews the applications of …
intersymbol interference in dispersive channels. This paper reviews the applications of …
Advances in active noise control: A survey, with emphasis on recent nonlinear techniques
This paper discusses the evolution of active noise control systems over the past 75 years.
The focus of this study is on the use of signal processing and some recent soft computing …
The focus of this study is on the use of signal processing and some recent soft computing …
Graph neural network-driven traffic forecasting for the connected internet of vehicles
Due to great advances in wireless communication, the connected Internet of vehicles
(CIoVs) has become prevalent. Naturally, internal connections among active vehicles are an …
(CIoVs) has become prevalent. Naturally, internal connections among active vehicles are an …
[HTML][HTML] A machine learning method for the prediction of ship motion trajectories in real operational conditions
This paper presents a big data analytics method for the proactive mitigation of grounding
risk. The model encompasses the dynamics of ship motion trajectories while accounting for …
risk. The model encompasses the dynamics of ship motion trajectories while accounting for …
An image quality enhancement scheme employing adolescent identity search algorithm in the NSST domain for multimodal medical image fusion
The fast-develo** Image fusion technique has become a necessary one in every field.
Analyzing the efficiency of various fusion technologies analytically and objectively are …
Analyzing the efficiency of various fusion technologies analytically and objectively are …
Big data analytics and application for logistics and supply chain management
This special issue explores big data analytics and applications for logistics and supply chain
management by examining novel methods, practices, and opportunities. The articles present …
management by examining novel methods, practices, and opportunities. The articles present …
Self-evolving recurrent Chebyshev fuzzy neural sliding mode control for active power filter
J Fei, Z Wang, Y Fang - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
A self-evolving recurrent Chebyshev fuzzy neural network (SERCFNN) approximator based
on a fractional order sliding mode controller (FOSMC) is developed for an active power filter …
on a fractional order sliding mode controller (FOSMC) is developed for an active power filter …
Finite-time attitude tracking control for spacecraft using terminal sliding mode and Chebyshev neural network
A finite-time attitude tracking control scheme is proposed for spacecraft using terminal
sliding mode and Chebyshev neural network (NN)(CNN). The four-parameter …
sliding mode and Chebyshev neural network (NN)(CNN). The four-parameter …
An incremental learning of concept drifts using evolving type-2 recurrent fuzzy neural networks
The age of online data stream and dynamic environments results in the increasing demand
of advanced machine learning techniques to deal with concept drifts in large data streams …
of advanced machine learning techniques to deal with concept drifts in large data streams …
Application of Legendre neural network for solving ordinary differential equations
S Mall, S Chakraverty - Applied Soft Computing, 2016 - Elsevier
In this paper, a new method based on single layer Legendre Neural Network (LeNN) model
has been developed to solve initial and boundary value problems. In the proposed …
has been developed to solve initial and boundary value problems. In the proposed …